Conference Local Information Program Accepted Papers Keynote Speakers Tutorials Workshops Discussants UAI 2022 Competition Awards Important Dates Registration Student Scholarships Code of Conduct Sponsors Help
For Authors Call for Papers Call for Tutorials Call for Workshops Submission Instructions Conflicts of Interest Subject Areas Camera-ready Instructions
Organization Organizing Committee Area Chairs Program Committee Reviewing Instructions AUAI

UAI 2022 - Subject Areas


Below you find a non-exhaustive list of relevant topics for your reference.

Algorithms
  • Approximate Inference
  • Bayesian Methods
  • Belief Propagation
  • Exact Inference
  • Kernel Methods
  • Missing Data Handling
  • Monte Carlo Methods
  • Optimization - Combinatorial
  • Optimization - Convex
  • Optimization - Discrete
  • Optimization - Non-Convex
  • Probabilistic Programming
  • Randomized Algorithms
  • Spectral Methods
  • Variational Methods
Applications
  • Cognitive Science
  • Computational Biology
  • Computer Vision
  • Crowdsourcing
  • Earth System Science
  • Education
  • Forensic Science
  • Healthcare
  • Natural Language Processing
  • Neuroscience
  • Planning and Control
  • Privacy and Security
  • Robotics
  • Social Good
  • Sustainability and Climate Science
  • Text and Web Data
Learning
  • Active Learning
  • Adversarial Learning
  • Causal Learning
  • Classification
  • Clustering
  • Compressed Sensing and Dictionary Learning
  • Deep Learning
  • Density Estimation
  • Dimensionality Reduction
  • Ensemble Learning
  • Feature Selection
  • Hashing and Encoding
  • Multitask and Transfer Learning
  • Online and Anytime Learning
  • Policy Optimization and Policy Learning
  • Ranking
  • Recommender Systems
  • Reinforcement Learning
  • Relational Learning
  • Representation Learning
  • Semi-Supervised Learning
  • Structure Learning
  • Structured Prediction
  • Unsupervised Learning
Models
  • Bandits
  • (Dynamic) Bayesian Networks
  • Generative Models
  • Graphical Models - Directed
  • Graphical Models - Undirected
  • Graphical Models - Mixed
  • Markov Decision Processes
  • Models for Relational Data
  • Neural Networks
  • Probabilistic Circuits
  • Regression Models
  • Spatial and Spatio-Temporal Models
  • Temporal and Sequential Models
  • Topic Models and Latent Variable Models
Principles
  • Explainability
  • Causality
  • Computational and Statistical Trade-Offs
  • Fairness
  • Privacy
  • Reliability
  • Robustness
  • (Structured) Sparsity
Representation
  • Constraints
  • Dempster-Shafer
  • (Description) Logics
  • Imprecise Probabilities
  • Influence Diagrams
  • Knowledge Representation Languages
Theory
  • Computational Complexity
  • Control Theory
  • Decision theory
  • Game theory
  • Information Theory
  • Learning Theory
  • Probability Theory
  • Statistical Theory




Sponsors